Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as well as to allow video information to be shared for both marketing, analytics and editorial purposes.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

Skip to main content
BMC is moving to Springer Nature Link. Visit this journal in its new home.

Table 2 Positive site-specific selection identified with CodeML models, BUSTED and MEME, and MrBayes

From: Divergent and non-parallel evolution of MHC IIB in the Neotropical Midas cichlid species complex

Model

logL

Parameter estimates

PSS

M1aa

− 3068.35

p0 = 0.606, p1 = 0.394

ω0 = 0.128, ω1 = 1

NA

M2aa

− 2985.41

p0 = 0.379, p1 = 0.366, p2 = 0.255

ω0 = 0.073, ω1 = 1, ω2 = 4.138

1, 3, 10, 12, 13, 22, 28, 35, 40, 42, 44, 45, 46

M7a

− 3052.97

p = 0.171, q = 0.184

NA

M8a

− 2984.37

p0 = 0.749, p1 = 0.251, p = 0.194

q = 0.219, ω = 3.767

1, 3, 10, 12, 13, 22, 28, 35, 40, 42, 44, 45, 46

Constrainedb

− 2885.7

p1 = 0.369, p2 = 0, p3 = 0.631

ω1 = 0, ω2 = 0.54, ω3 = 1

NA

Unconstrainedb/MEME

− 2805.1

p1 = 0.351, p2 = 0.543, p3 = 0.106

ω1 = 0.37, ω2 = 0.37, ω3 = 43.67

1, 3, 5, 12, 13, 16, 21, 22, 35, 36, 39, 42, 44, 45, 46, 47

MrBayes

 

p = 0.356, pN = 0.359, p+  = 0.284

ω = 0.082, ωN = 1, ω+ = 4.577

1, 3, 13, 22, 28, 35, 36, 42, 45, 46

  1. logL, log-likelihood value; PSS, positively selected sites; NA, not allowed; PSS indicated for the unconstrained model are identified with MEME. Model parameters are: M1a and M2a: p0 = proportion of sites with 0 < ω0 < 1, p1 = proportion of sites with ω1 = 1, p2 = proportion of sites with ω2 > 1; M7 and M8: p, q = β distribution parameters, p0 = proportion of sites with ω within the β distribution, p1 = proportion of sites with ω > 1; constrained and unconstrained: p1, p2 = proportion of sites with 0 ≤ ω1 ≤ ω2 ≤ 1, p3 = proportion of sites with ω3 = 1 (constrained) or ω3 > 1 (unconstrained); MrBayes: p = proportion of sites with 0 ≤ ω < 1, pN = proportion of sites with ωN = 1, p+ = proportion of sites with ω+  > 1
  2. aCodeML models
  3. bBUSTED models